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2020 – today
- 2024
[c14]Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CVPR 2024: 20742-20751- [c13]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. ISBI 2024: 1-5 - [c12]Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz, Andrew P. Bradley
, Judy Wawira Gichoya, Laleh Seyyed-Kalantari, Brandon J. Price, Clinton Fookes, Léo Lebrat:
Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis. ISBI 2024: 1-4 - [i11]Rongkai Ma, Léo Lebrat, Rodrigo Santa Cruz, Gil Avraham, Yan Zuo, Clinton Fookes, Olivier Salvado:
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields. CoRR abs/2401.16144 (2024) - [i10]Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Léo Lebrat:
NeRF Director: Revisiting View Selection in Neural Volume Rendering. CoRR abs/2406.08839 (2024) - [i9]Remi Chierchia, Léo Lebrat, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Rodrigo Santa Cruz:
SALVE: A 3D Reconstruction Benchmark of Wounds from Consumer-grade Videos. CoRR abs/2407.19652 (2024) - [i8]Bowen Xin, Tony Young, Claire E. Wainwright, Tamara Blake, Léo Lebrat, Thomas Gaass, Thomas Benkert, Alto Stemmer, David Coman, Jason Dowling:
Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs. CoRR abs/2408.09432 (2024) - 2023
- [c11]Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Andrew P. Bradley, Olivier Salvado:
Bias Identification with RankPix Saliency. ICASSP 2023: 1-5 - [c10]Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI 2023: 1-5 - [c9]Joshua Peters, Léo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Doré, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado:
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. WACV 2023: 1958-1968 - [i7]Léo Lebrat, Rodrigo Santa Cruz, Remi Chierchia, Yulia Arzhaeva, Mohammad Ali Armin, Joshua Goldsmith, Jeremy Oorloff, Prithvi Reddy, Chuong Nguyen, Lars Petersson, Michelle Barakat-Johnson, Georgina Luscombe, Clinton Fookes, Olivier Salvado, David Ahmedt-Aristizabal:
Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis. CoRR abs/2311.15836 (2023) - 2022
- [j4]Filip Rusak, Rodrigo Santa Cruz, Léo Lebrat, Ondrej Hlinka, Jurgen Fripp, Elliot Smith, Clinton Fookes, Andrew P. Bradley, Pierrick Bourgeat:
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. Medical Image Anal. 82: 102576 (2022) - [c8]Léo Lebrat, Aaron Nicolson, Rodrigo Santa Cruz, Gregg Belous, Bevan Koopman, Jason Dowling:
CSIRO at ImageCLEFmedical Caption 2022. CLEF (Working Notes) 2022: 1455-1473 - [c7]Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. MICCAI (5) 2022: 496-505 - [i6]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. CoRR abs/2206.02374 (2022) - [i5]Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. CoRR abs/2206.06598 (2022) - 2021
- [c6]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado:
MongeNet: Efficient Sampler for Geometric Deep Learning. CVPR 2021: 16664-16673 - [c5]Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Elliot Smith, Andrew P. Bradley, Clinton Fookes, Olivier Salvado:
A Comparison of Saliency Methods for Deep Learning Explainability. DICTA 2021: 1-8 - [c4]Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Andrew P. Bradley, Clinton Fookes, Olivier Salvado:
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. ISBI 2021: 362-366 - [c3]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going Deeper With Brain Morphometry Using Neural Networks. ISBI 2021: 711-715 - [c2]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. NeurIPS 2021: 29491-29505 - [c1]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. WACV 2021: 806-815 - [i4]Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado:
MongeNet: Efficient Sampler for Geometric Deep Learning. CoRR abs/2104.14554 (2021) - 2020
- [j3]Léo Lebrat, Frédéric de Gournay, Jonas Kahn:
3/4-Discrete Optimal Transport. SIAM J. Sci. Comput. 42(4): A2088-A2107 (2020) - [i3]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going deeper with brain morphometry using neural networks. CoRR abs/2009.03303 (2020) - [i2]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. CoRR abs/2010.11423 (2020)
2010 – 2019
- 2019
- [j2]Frédéric de Gournay, Jonas Kahn, Léo Lebrat:
Differentiation and regularity of semi-discrete optimal transport with respect to the parameters of the discrete measure. Numerische Mathematik 141(2): 429-453 (2019) - [j1]Léo Lebrat, Frédéric de Gournay, Jonas Kahn, Pierre Weiss:
Optimal Transport Approximation of 2-Dimensional Measures. SIAM J. Imaging Sci. 12(2): 762-787 (2019) - [i1]Frédéric de Gournay, Jonas Kahn, Léo Lebrat:
Approximation of curves with piecewise constant or piecewise linear functions. CoRR abs/1909.04582 (2019)
Coauthor Index
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last updated on 2024-10-16 20:34 CEST by the dblp team
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